Triple
T35649430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Warren |
E1030101
|
entity |
| Predicate | hasNoWidelyKnownIndependentPublicCareer |
P136025
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Julie Warren, hasNoWidelyKnownIndependentPublicCareer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoWidelyKnownIndependentPublicCareer Context triple: [Julie Warren, hasNoWidelyKnownIndependentPublicCareer, true]
-
A.
hasNoWidelyKnownPublicCareer
chosen
Indicates that the person does not have a public-facing career or role that is broadly recognized or prominent.
-
B.
hasSoloCareer
Indicates that an individual has pursued a musical or artistic career independently, separate from any group or band affiliations.
-
C.
hasNotableEarlyCareerAppearanceOf
Indicates that an entity features or includes a significant appearance by another entity during the latter’s early career.
-
D.
hasNotableProfessionalDetails
Indicates that there are significant or noteworthy aspects about an entity’s professional background, career, or work history.
-
E.
hasNotableAchievements
Indicates that the subject possesses significant accomplishments, distinctions, or recognitions that are considered noteworthy.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e0938088190a8f199631e97dec3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.